The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
“Excellence R Us”: university research and the fetishisation of excellence
Open accessAbstract
The rhetoric of “excellence” is pervasive across the academy. It is used to refer to research outputs as well as researchers, theory and education, individuals and organizations, from art history to zoology. But does “excellence” actually mean anything? Does this pervasive narrative of “excellence” do any good? Drawing on a range of sources we interrogate “excellence” as a concept and find that it has no intrinsic meaning in academia. Rather it functions as a linguistic interchange mechanism. To investigate whether this linguistic function is useful we examine how the rhetoric of excellence combines with narratives of scarcity and competition to show that the hyper-competition that arises from the performance of “excellence” is completely at odds with the qualities of good research. We trace the roots of issues in reproducibility, fraud, and homophily to this rhetoric. But we also show that this rhetoric is an internal, and not primarily an external, imposition. We conclude by proposing an alternative rhetoric based on soundness and capacity-building. In the final analysis, it turns out that that “excellence” is not excellent. Used in its current unqualified form it is a pernicious and dangerous rhetoric that undermines the very foundations of good research and scholarship. This article is published as part of a collection on the future of research assessment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Retraction policies of top scientific journals ranked by impact factor
Resnik, D. B., Wager, E., & Kissling, G. E. (2015) · Journal of the Medical Library Association JMLA · doi:10.3163/1536-5050.103.3.006 · Cited by 77
RetractedThe Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
The Structure of Scientific Revolutions: 50th Anniversary Edition
Kuhn, T. S., & Hacking, I. (2012) · doi:10.7208/chicago/9780226458144.001.0001 · Cited by 21,170
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
the CONSORT Group, Schulz, K. F., Altman, D. G., & Moher, D. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-18 · Cited by 13,371
Science in Action: How to Follow Scientists and Engineers through Society
Bijker, W. E., & Latour, B. (1988) · Technology and Culture · doi:10.2307/3105094 · Cited by 10,767
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
Schulz, K. F., Altman, D. G., Moher, D., & for the CONSORT Group (2010) · BMJ · doi:10.1136/bmj.c332 · Cited by 9,329
(1987) · Cited by 8,955
Estimating the reproducibility of psychological science
Open Science Collaboration (2015) · Science · doi:10.1126/science.aac4716 · Cited by 8,515
Laboratory Life: The Construction of Scientific Facts
Latour, B. (1986) · DigitalGeorgetown (Georgetown University Library) · Cited by 7,491
Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000412 · Cited by 7,300
Cited by
What is open peer review? A systematic review
Ross-Hellauer, T. (2017) · F1000Research · doi:10.12688/f1000research.11369.1 · Cited by 232
“Finally, factors like the pursuit of “impact” and “excellence” (Moore et al., 2017) mean that editors and reviewers seem primed to prefer positive results over negative or neutral ones (Bardy, 1998; Dickersin et al., 1992; Fanelli, 2010; Ioannidis, 1998), and to disfavour replication studies…”
BackgroundChanging how we evaluate research is difficult, but not impossible
Hatch, A., & Curry, S. (2020) · eLife · doi:10.7554/elife.58654 · Cited by 55
Regional and institutional trends in assessment for academic promotion
Lim, B. H., D’Ippoliti, C., Dominik, M., Hernández-Mondragón, A. C., Vermeir, K., Chong, K. K., Hussein, H., Morales-Salgado, V. S., Cloete, K. J., Kimengsi, J. N., et al. (2025) · Nature · doi:10.1038/s41586-024-08422-9 · Cited by 53
Kirkpatrick, R. H., Munoz, D. P., Khalid-Khan, S., & Booij, L. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.11.023 · Cited by 41
Metadata
- Authors
- Moore, S., Neylon, C., Paul Eve, M., Paul O’Donnell, D., & Pattinson, D.
- Venue
- Palgrave Communications
- Published
- 2017-01-19
- Volume
- 3
- Issue
- 1
- ISSN
- 2055-1045 (ISSN-L)
- OpenAlex
- W2417800084
- Cited by
- 264
- References
- 130
- FWCI
- 45.52
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: “Excellence R Us”: university research and the fetishisation of excellence. https://app.cochat.ai/papers/10.1057/palcomms.2016.105
- The paper
- Moore, S., Neylon, C., Paul Eve, M., Paul O’Donnell, D., & Pattinson, D. (2017). “Excellence R Us”: university research and the fetishisation of excellence. Palgrave Communications. https://doi.org/10.1057/palcomms.2016.105
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.